Build an Android library (AAR) with TensorFlow Light model

Hi there! We have a tensorflow model for detecting face-spoofing attempts (providing photos instead of real person face). The task is to create an android library to pass images from camera to the model. Place our trained model into the assets, use the tensorflow interpreter to load the model and get the score, return score to the client.

Useful link: https://www.tensorflow.org/lite/android/quickstart
There is an example project loading model and accessing it. Out model has one input (bitmap image) and one output (score).

In the attachments you can find a code for loading similar anti-spoofing model. We need a developer to make a library and a simple example app with linked library to pass images from camera to the model. 2-3 days of work and adjustments.